Pyth Network

Текущее состояние: Pyth Network is trading at $0.031700 with a $0.3 billion market capitalization (rank #208). The price moved +1.28% over the past 24 hours and is -23.24% over 7 days; the 30-day move stands at -46.99% and the 90-day at -32.26%. Both long-term and short-term horizons are pointing the same direction down — historically the regime where forced selling and capitulation are most likely to be in their later stages.

Позиция в цикле: The asset trades deep in the post-peak drawdown regime, more than 70% below its prior cycle high — typical of late-stage bear conditions or assets that have permanently re-rated lower.

Волатильность и структура: 30-day realized volatility of 92.8% annualized is high for an asset this size. Our composite multi-horizon Price Strength reads Weak (14/100), in a structurally weak regime with material losses across every meaningful horizon.

Beyond Bitcoin, PYTH's 90-day return correlations to the other two largest layer-1 references help characterize whether the asset moves as part of a crypto-market beta complex or as something more idiosyncratic. The Pearson correlations across daily log returns:

• Bitcoin reference: +0.56 — a moderate positive relationship.
• Ethereum reference: +0.53 — a moderate positive relationship.
• Solana reference: +0.67 — a strong positive relationship.

Strong correlation to multiple references typically indicates that the asset trades primarily as crypto-market beta — moves in BTC/ETH/SOL drive most of the price action, and stand-alone alpha is harder to capture. Weak or negative correlations indicate idiosyncratic drivers (project-specific news, sector rotation within crypto, or narrative shifts) that can produce returns uncorrelated with the broader market.

Pyth Network (PYTH) is криптовалюта, торгуемая на мировых рынках цифровых активов. It trades at $0.0317 as of the latest update, with a 24-hour move up 0.96%, placing it at rank #138 by market capitalisation among all listed digital assets. Pyth Network's current market cap stands at $317.00M, a figure used by traders, analysts and institutional desks to gauge relative liquidity and risk exposure across the crypto market.

На этой странице вы найдёте живую панель, обновляемую ежедневно, которая отслеживает Pyth Network по нескольким источникам данных — история цен за несколько лет, on-chain активность при наличии, фундаментальные показатели (циркулирующее предложение и разводнение), топ-биржи по объёму, технический анализ со скользящими средними и RSI, а также алгоритмический краткосрочный, среднесрочный и долгосрочный прогноз. Все цифры взяты из публичных API и кэшируются локально; ничто здесь не является инвестиционной рекомендацией.

Oracle networks are the connective tissue between off-chain data and on-chain smart contracts. Without reliable oracles, DeFi lending (which needs price feeds for collateral), prediction markets, parametric insurance, and most real-world-asset tokenization would not work. Pyth Network is one of the dominant oracle providers in this category.

Pyth Network является децентрализованной оракул-сетью: слой независимых узлов, которые получают данные реального мира (цены активов, спортивные счета, погода, удостоверения личности) и доставляют их в смарт-контракты в нескольких блокчейн-сетях. Токен используется для экономической защиты сети — узлы стейкают его как залог точности отчётности и слешатся за нарушения.

Oracle tokens are used for: securing data feeds via staking, governance over which feeds and methods the network provides, paying for data delivery in some networks, and node-operator collateral. They are infrastructure plays — their adoption tracks DeFi and tokenization growth more than retail attention.

Pyth Network's tokenomics combine its supply schedule, current circulating supply, and the relationship between circulating market cap and fully-diluted valuation. At over 99% of maximum supply issued, future issuance pressure is effectively zero — the supply curve is now flat, and value accrual must come from network adoption rather than from supply schedule mechanics.

For thesis-building, the relevant question is whether the structural value accrual mechanism (fee burns, staking yield reinvestment, deflationary supply mechanics, ecosystem TVL growth) outpaces the structural emission pressure. When it does, the price tends to grind higher over multi-quarter windows even without speculative momentum; when it does not, the asset typically requires consistent narrative-driven demand to absorb the issuance.

The macro backdrop for crypto assets in 2026 is dominated by the Federal Reserve's rate path, the trajectory of dollar liquidity, and the unwind (or non-unwind) of the post-2020 expansion in M2 money supply. Crypto assets — and Bitcoin in particular — have historically responded most strongly to changes in the global liquidity regime, with risk-on phases coinciding with falling real yields and a softening dollar, and risk-off phases the inverse. Given the 90-day BTC correlation of +0.56, PYTH's near-term macro sensitivity will be similar to Bitcoin's — driven primarily by the same liquidity conditions and risk-asset flows.

The cross-asset relationships worth monitoring: the dollar index (DXY) — historically inversely correlated with crypto over longer windows; the 10-year Treasury yield — a proxy for the cost of risk capital; gold — which often shares "monetary hedge" framing with Bitcoin during certain regime changes; and the S&P 500 — which during liquidity-driven moves often rhymes with crypto despite the popular framing of crypto as uncorrelated.

For Pyth Network specifically, the macro variable that has empirically led price most often is global crypto-market liquidity — proxied by stablecoin total supply, futures open interest, and exchange volumes. When these expand, PYTH tends to follow; when they contract, the relationship typically reverses.

Specific risks: feed integrity (a bad data point can liquidate billions in DeFi collateral), node-operator centralization, smart contract risk in the oracle protocol itself, competitive pressure from rival oracle providers, and revenue dependence on broader DeFi activity. Oracle tokens are sensitive to DeFi-sector cycles.